Edwin Simpson

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Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaVerified email at cs.tu-darmstadt.de
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
Ji-Ung LeePostdoc, RTG Neuroexplicit Models, University of SaarlandVerified email at posteo.net
Tristan MillerUniversity of ManitobaVerified email at umanitoba.ca
Sarvapali D. (Gopal) RamchurnProfessor of Artificial Intelligence, University of SouthamptonVerified email at ecs.soton.ac.uk
Mohsen MesgarResearch Scientist at Bosch Center for AIVerified email at bosch.com
Nick JenningsVice-Chancellor and President, Loughborough UniversityVerified email at lboro.ac.uk
Erik-Lân Do Dinhdoctoral researcher, Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität DarmstadtVerified email at ukp.informatik.tu-darmstadt.de
Abby LevenbergWorkFusionVerified email at workfusion.com
Ioannis (Yannis) PsorakisEngineering Director @ Thought Machine, LondonVerified email at robots.ox.ac.uk
Krishnkant SwarnkarGraduate student, CICS, University of Massachusetts, AmherstVerified email at iitbhu.ac.in
Steffen EgerFull Professor, University of Technology NurembergVerified email at utn.de
Andreas RückléAmazonVerified email at amazon.com
Claudia SchulzThomson ReutersVerified email at thomsonreuters.com
Gözde Gül ŞahinAssistant Professor, Koç UniversityVerified email at ku.edu.tr
John S. EricksonDirector of Research Operations, The Rensselaer IDEA; Director of Web Science Operations, TetherlessVerified email at rpi.edu
Tom RoddenProfessor of Computer Science, Nottingham UniversityVerified email at cs.nott.ac.uk
Joel FischerProfessor of Human-Computer Interaction, Mixed Reality Laboratory, School of Computer ScienceVerified email at nottingham.ac.uk
Luc MoreauUniversity of SussexVerified email at sussex.ac.uk
Dong HuynhKing's College LondonVerified email at kcl.ac.uk

Edwin Simpson

University of Bristol

Verified email at bristol.ac.uk - Homepage

NLP Machine Learning interactive machine learning crowdsourcing Bayesian methods


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Dynamic bayesian combination of multiple imperfect classifiers E Simpson, S Roberts, I Psorakis, A Smith Decision making and imperfection, 1-35, 2013	188	2013
Text processing like humans do: Visually attacking and shielding NLP systems S Eger, GG Şahin, A Rücklé, JU Lee, C Schulz, M Mesgar, K Swarnkar, ... arXiv preprint arXiv:1903.11508, 2019	173	2019
A disaster response system based on human-agent collectives SD Ramchurn, TD Huynh, F Wu, Y Ikuno, J Flann, L Moreau, JE Fischer, ... Journal of Artificial Intelligence Research 57, 661-708, 2016	132	2016
Space Warps – I. Crowdsourcing the discovery of gravitational lenses PJ Marshall, A Verma, A More, CP Davis, S More, A Kapadia, M Parrish, ... Monthly Notices of the Royal Astronomical Society 455 (2), 1171-1190, 2016	127	2016
Efficient methods for natural language processing: A survey M Treviso, JU Lee, T Ji, B Aken, Q Cao, MR Ciosici, M Hassid, K Heafield, ... Transactions of the Association for Computational Linguistics 11, 826-860, 2023	85	2023
Content-centered collaboration spaces in the cloud J Erickson, M Rhodes, S Spence, D Banks, J Rutherford, E Simpson, ... IEEE Internet computing 13 (5), 34-42, 2009	68	2009
Finding convincing arguments using scalable Bayesian preference learning E Simpson, I Gurevych Transactions of the Association for Computational Linguistics 6, 357-371, 2018	60	2018
Clustering tags in enterprise and web folksonomies E Simpson Proceedings of the International AAAI Conference on Web and Social Media 2 …, 2008	57	2008
SemEval-2021 task 12: Learning with disagreements A Uma, T Fornaciari, A Dumitrache, T Miller, J Chamberlain, B Plank, ... Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021	54	2021
Predicting economic indicators from web text using sentiment composition A Levenberg, S Pulman, K Moilanen, E Simpson, S Roberts International Journal of Computer and Communication Engineering 3 (2), 109-115, 2014	52	2014
A Bayesian approach for sequence tagging with crowds E Simpson, I Gurevych arXiv preprint arXiv:1811.00780, 2018	43	2018
Bayesian methods for intelligent task assignment in crowdsourcing systems E Simpson, S Roberts Decision Making: Uncertainty, Imperfection, Deliberation and Scalability, 1-32, 2015	38	2015
Scalable Bayesian preference learning for crowds E Simpson, I Gurevych Machine Learning 109 (4), 689-718, 2020	35	2020
Language understanding in the wild: Combining crowdsourcing and machine learning ED Simpson, M Venanzi, S Reece, P Kohli, J Guiver, SJ Roberts, ... Proceedings of the 24th international conference on world wide web, 992-1002, 2015	35	2015
Predicting humorousness and metaphor novelty with Gaussian process preference learning E Simpson, EL Do Dinh, T Miller, I Gurevych Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019	33	2019
Improving factual consistency between a response and persona facts M Mesgar, E Simpson, I Gurevych arXiv preprint arXiv:2005.00036, 2020	29	2020
Low resource sequence tagging with weak labels E Simpson, J Pfeiffer, I Gurevych Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8862-8869, 2020	18	2020
Tag clustering with self organizing maps ML Sbodio, E Simpson HP Labs Techincal Reports, 2009	17	2009
Combined decision making with multiple agents ED Simpson University of Oxford, 2014	12	2014
Aggregating and learning from multiple annotators S Paun, E Simpson Proceedings of the 16th Conference of the European Chapter of the …, 2021	10	2021

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